The document discusses limits and continuity, explaining what limits are, how to evaluate different types of limits using techniques like direct substitution, dividing out, and rationalizing, and how limits relate to concepts like derivatives, continuity, discontinuities, and the intermediate value theorem. Special trig limits, properties of limits, and how limits can be used to find derivatives are also covered.
This document summarizes research on developing autonomous experimental systems for materials characterization and phase diagram mapping. Key points discussed include:
- Using active clustering algorithms and Gaussian process classification to analyze x-ray diffraction data and autonomously map phase diagrams without human labeling or supervision.
- Developing infrastructure for autonomous experiments involving autonomous data analysis, selection of new experimental conditions based on analysis, and control of experimental equipment to acquire new data.
- Demonstrating this approach on systems like VNbO2 and VWO2 to map phase diagrams and metal-insulator transition temperatures as a function of composition and temperature.
Optimization of technological process to decrease dimensions of circuits xor ...ijfcstjournal
The paper describes an approach of increasing of integration rate of elements of integrated circuits. The
approach has been illustrated by example of manufacturing of a circuit XOR. Framework the approach one
should manufacture a heterostructure with specific configuration. After that several special areas of the
heterostructure should be doped by diffusion and/or ion implantation and optimization of annealing of dopant
and/or radiation defects. We analyzed redistribution of dopant with account redistribution of radiation
defects to formulate recommendations to decrease dimensions of integrated circuits by using analytical
approaches of modeling of technological process.
Ph.D. Thesis : Ranjan JHA : Contributions to the Performance Analysis of Para...Dr. Ranjan Jha
Ph.D. Thesis Defense
Title: Contributions to the Performance Analysis of Parallel Robots
Venue: IRCCyN, Ecole Centrale de Nantes, France
Abstract: This doctoral thesis focuses on the different aspects which are associated with the efficient planning of desired tasks for parallel robots. These different aspects are mainly categorized into four parts, namely: workspace and joint space analysis, uniqueness domains, trajectory planning and accuracy analysis. The workspace and joint space analysis differentiate the regions with the different number of inverse kinematic solutions and direct kinematic solutions using a cylindrical algebraic decomposition algorithm, respectively. The influence of design parameters and joint limits on the workspace boundaries for the parallel robots are reported. Gr\"{o}bner based elimination methods are used to compute the parallel and serial singularities of the manipulator under study. The descriptive analysis of a family of delta-like robots is presented by using algebraic tools to induce an estimation about the complexity in representing the singularities in the workspace and the joint space. The generalized notions of aspects and uniqueness domains are defined for the parallel robot with several operation modes. The characteristic surfaces are also computed to define the uniqueness domains in the workspace. An algebraic method is proposed to check the feasibility of any given trajectory in the workspace to address the well-known problem which arises when there exists a singular configuration between the two poses of the end-effectors while discretizing the path with a classical approach. A Framework for the control loop of a parallel robot with several actuation modes is presented, which uses only the inverse geometric model. The accuracy analysis focuses on the estimation of errors in the pose of the end effector due to the joint's errors produced by the PID control loop. The proposed error model, which is based on the static and dynamic properties of the Orthoglide, helps in estimating the error in the Cartesian workspace.
An Algebraic Method to Check the Singularity-Free Paths for Parallel RobotsDr. Ranjan Jha
ASME 2015 International Design Engineering Technical Conferences / Computers and Information in Engineering Conference
Venue: Boston, Massachusetts, USA
Abstract: Trajectory planning is a critical step while programming the parallel manipulators in a robotic cell. The main problem arises when there exists a singular configuration between the two poses of the end-effectors while discretizing the path with a classical approach. This paper presents an algebraic method to check the feasibility of any given trajectories in the workspace. The solutions of the polynomial equations associated with the trajectories are projected into the joint space using Gr\"{o}bner based elimination methods and the remaining equations are expressed in a parametric form where the particular variables are functions of time $t$ unlike any numerical or discretization method.
These formal computations allow to write the Jacobian of the manipulator as a function of time and to check if its determinant can vanish between two poses. Another benefit of this approach is to use the largest workspace with a more complex shape than a cube, cylinder or sphere. For the Orthoglide, three degrees of freedom parallel robot, three different trajectories are used to illustrate this method.
vertical response of a hereditary deformable systemIJAEMSJORNAL
An investigation of a viscoelastic material damping effect is studied on an example of plenum air-cushion craft model. A numerical investigation was conducted to determine the vertical response characteristic of an open plenum air-cushion structure. The pure vertical motion of an air-cushion structure is investigated using a non-linear mathematical model; this incorporates a simple model to account hereditary deformable characteristic of the material.
The document discusses limits and continuity, explaining what limits are, how to evaluate different types of limits using techniques like direct substitution, dividing out, and rationalizing, and how limits relate to concepts like derivatives, continuity, discontinuities, and the intermediate value theorem. Special trig limits, properties of limits, and how limits can be used to find derivatives are also covered.
This document summarizes research on developing autonomous experimental systems for materials characterization and phase diagram mapping. Key points discussed include:
- Using active clustering algorithms and Gaussian process classification to analyze x-ray diffraction data and autonomously map phase diagrams without human labeling or supervision.
- Developing infrastructure for autonomous experiments involving autonomous data analysis, selection of new experimental conditions based on analysis, and control of experimental equipment to acquire new data.
- Demonstrating this approach on systems like VNbO2 and VWO2 to map phase diagrams and metal-insulator transition temperatures as a function of composition and temperature.
Optimization of technological process to decrease dimensions of circuits xor ...ijfcstjournal
The paper describes an approach of increasing of integration rate of elements of integrated circuits. The
approach has been illustrated by example of manufacturing of a circuit XOR. Framework the approach one
should manufacture a heterostructure with specific configuration. After that several special areas of the
heterostructure should be doped by diffusion and/or ion implantation and optimization of annealing of dopant
and/or radiation defects. We analyzed redistribution of dopant with account redistribution of radiation
defects to formulate recommendations to decrease dimensions of integrated circuits by using analytical
approaches of modeling of technological process.
Ph.D. Thesis : Ranjan JHA : Contributions to the Performance Analysis of Para...Dr. Ranjan Jha
Ph.D. Thesis Defense
Title: Contributions to the Performance Analysis of Parallel Robots
Venue: IRCCyN, Ecole Centrale de Nantes, France
Abstract: This doctoral thesis focuses on the different aspects which are associated with the efficient planning of desired tasks for parallel robots. These different aspects are mainly categorized into four parts, namely: workspace and joint space analysis, uniqueness domains, trajectory planning and accuracy analysis. The workspace and joint space analysis differentiate the regions with the different number of inverse kinematic solutions and direct kinematic solutions using a cylindrical algebraic decomposition algorithm, respectively. The influence of design parameters and joint limits on the workspace boundaries for the parallel robots are reported. Gr\"{o}bner based elimination methods are used to compute the parallel and serial singularities of the manipulator under study. The descriptive analysis of a family of delta-like robots is presented by using algebraic tools to induce an estimation about the complexity in representing the singularities in the workspace and the joint space. The generalized notions of aspects and uniqueness domains are defined for the parallel robot with several operation modes. The characteristic surfaces are also computed to define the uniqueness domains in the workspace. An algebraic method is proposed to check the feasibility of any given trajectory in the workspace to address the well-known problem which arises when there exists a singular configuration between the two poses of the end-effectors while discretizing the path with a classical approach. A Framework for the control loop of a parallel robot with several actuation modes is presented, which uses only the inverse geometric model. The accuracy analysis focuses on the estimation of errors in the pose of the end effector due to the joint's errors produced by the PID control loop. The proposed error model, which is based on the static and dynamic properties of the Orthoglide, helps in estimating the error in the Cartesian workspace.
An Algebraic Method to Check the Singularity-Free Paths for Parallel RobotsDr. Ranjan Jha
ASME 2015 International Design Engineering Technical Conferences / Computers and Information in Engineering Conference
Venue: Boston, Massachusetts, USA
Abstract: Trajectory planning is a critical step while programming the parallel manipulators in a robotic cell. The main problem arises when there exists a singular configuration between the two poses of the end-effectors while discretizing the path with a classical approach. This paper presents an algebraic method to check the feasibility of any given trajectories in the workspace. The solutions of the polynomial equations associated with the trajectories are projected into the joint space using Gr\"{o}bner based elimination methods and the remaining equations are expressed in a parametric form where the particular variables are functions of time $t$ unlike any numerical or discretization method.
These formal computations allow to write the Jacobian of the manipulator as a function of time and to check if its determinant can vanish between two poses. Another benefit of this approach is to use the largest workspace with a more complex shape than a cube, cylinder or sphere. For the Orthoglide, three degrees of freedom parallel robot, three different trajectories are used to illustrate this method.
vertical response of a hereditary deformable systemIJAEMSJORNAL
An investigation of a viscoelastic material damping effect is studied on an example of plenum air-cushion craft model. A numerical investigation was conducted to determine the vertical response characteristic of an open plenum air-cushion structure. The pure vertical motion of an air-cushion structure is investigated using a non-linear mathematical model; this incorporates a simple model to account hereditary deformable characteristic of the material.
On prognozisys of manufacturing doublebaseijaceeejournal
In this paper we introduce a modification of recently introduced analytical approach to model mass- and
heat transport. The approach gives us possibility to model the transport in multilayer structures with account
nonlinearity of the process and time-varing coefficients and without matching the solutions at the
interfaces of the multilayer structures. As an example of using of the approach we consider technological
process to manufacture more compact double base heterobipolar transistor. The technological approach
based on manufacturing a heterostructure with required configuration, doping of required areas of this
heterostructure by diffusion or ion implantation and optimal annealing of dopant and/or radiation defects.
The approach gives us possibility to manufacture p-n- junctions with higher sharpness framework the transistor.
In this situation we have a possibility to obtain smaller switching time of p-n- junctions and higher
compactness of the considered bipolar transistor.
In this paper, linear graphical method, moment method and inverse function method are first applied in the laboratory test of one dimensional sand column device, determining the longitudinal dispersion coefficient. The longitudinal dispersions for five groups of sand taken from 20cm below the ground surface in the Oil Refinery of China Petroleum Ningxia Filial are obtained. On this basis, the problems within the calculation process when the three kinds of methods are applied into actual data were discussed. It can be readily concluded that the three values of dispersion coefficients are approximate, and the errors caused by the subjective factors of artificial mapping and numerical reading were avoided. The inverse function method is recommended to apply for the high accuracy, sample calculation process, less known conditions and better linearity.
Linear And Nonlinear Analytical Modeling of Laminated Composite Beams In Thre...researchinventy
The large current development of aerospace and automotive technologies is based on the use of composite materials which provide significant weight savings compared to their mechanical characteristics. Correct dimensioning of composite structures requires a thorough knowledge of their behavior in small as in large deflection.This work aims to simulate linear and nonlinear behavior of laminates composites under threepoint bending test. The used modelization is based on first-order shear deformation theory (FSDT), classical plate theory (CPT) and Von-Karman’s equations for large deflection. A differential equation of Riccati, describing the variation of the deflection depending on the load, was obtained. Hence, the results deduced show a good correlation with experimental curves
ANALYSIS OF FIBER REINFORCED PLASTIC NEEDLE GATE FOR K.T. WEIRSAM Publications
Steel needle gates which are being used in Kolhapur Type Weirs (K.T. weirs) need to be replaced to overcome their disadvantages like heavy weight, corrosive nature, maintenance cost etc. Fiber Reinforced Plastic (F.R.P.) having advantages like light weight, low maintenance cost, corrosion resistance, longer service life etc. can be thought of as a replacement to steel in K.T. Weirs. In the present investigation an attempt is made to analyze the FRP Needle gates using finite element method. A generalized software tool is developed using FORTRAN which gives structural responses (deflections, stresses) as a result by input of material properties.
Hybrid Meta-Heuristic Algorithms For Solving Network Design ProblemAlana Cartwright
This document discusses hybrid meta-heuristic algorithms for solving network design problems. It proposes hybridizing the ant system meta-heuristic with genetic algorithms, simulated annealing and tabu search. Seven hybrid algorithms are developed and tested on the Sioux Falls network, finding the hybrids to be more effective than the base ant system alone. One hybrid combining all four concepts is also applied to a real network of a city with over 2 million people, proving more effective than the base network.
The Analytical Nature of the Greens Function in the Vicinity of a Simple Poleijtsrd
It is known that the Green function of a boundary value problem is a meromorphic function of a spectral parameter. When the boundary conditions contain integro differential terms, then the meromorphism of the Greens function of such a problem can also be proved. In this case, it is possible to write out the structure of the residue at the singular points of the Greens function of the boundary value problem with integro differential perturbations. An analysis of the structure of the residue allows us to state that the corresponding functions of the original operator are sufficiently smooth functions. Surprisingly, the adjoint operator can have non smooth eigenfunctions. The degree of non smoothness of the eigenfunction of the adjoint operator to an operator with integro differential boundary conditions is clarified. It is indicated that even those conjugations to multipoint boundary value problems have non smooth eigenfunctions. Ghulam Hazrat Aimal Rasa "The Analytical Nature of the Green's Function in the Vicinity of a Simple Pole" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-6 , October 2020, URL: https://www.ijtsrd.com/papers/ijtsrd33696.pdf Paper Url: https://www.ijtsrd.com/mathemetics/applied-mathamatics/33696/the-analytical-nature-of-the-greens-function-in-the-vicinity-of-a-simple-pole/ghulam-hazrat-aimal-rasa
Elastic path2path (International Conference on Image Processing'18)TamalBatabyal
Elastic Path2Path is a method for automated morphological classification of neurons. It models neurons as trees and decomposes them into rooted paths from the soma to dendritic terminals. It uses elastic deformations between paths in a shape space to allow for visualization and classification of neurons. Intermediate deformations ensure meaningful neuronal structures are generated during morphing between neurons. Technical issues with the previous Path2Path method like resampling and the distance metric are addressed in Elastic Path2Path.
Construction of Maximum Tortuosity of Single Fluid Path in Grid-based 2-d Sys...Sparisoma Viridi
Tortuosity of 2-d and 3-d small system are constructed using grid based system. Thermodynamics postulate shows that possiblility of a microstate with tortuous channel is very small, in order of 10^{-17}. This means other mechanism is required why nature can provide some structures.
Boston university; operations research presentation; 2013Alvin Zhang
This presentation discusses three operations research projects. Project I involves sustainable ecosystem planning for the Loess Plateau region of China using discrete stochastic dynamic programming and evolutionary game theory. The model represents multi-subsystems and their dynamic interactions using equations and parameters. Project II researches locational-marginal-price based distribution power networks. Project III develops an optimization approach for parametric tuning of power system stabilizers based on trajectory sensitivity analysis.
Hybrid Block Method for the Solution of First Order Initial Value Problems of...iosrjce
Method of collocation of the differential system and interpolation of the approximate solution which
is a combination of power series and exponential function at some selected grid and off-grid points to generate
a linear multistep method which is implemented in block method is considered in this paper. The basic
properties of the block method which include; consistency, convergence and stability interval is verified. The
method is tested on some numerical experiments and found to have better stability condition and better
approximation than the existing methods
Machine Learning in Materials Science and Chemistry, USPTO, Nathan C. FreyNathan Frey, PhD
Machine learning and artificial intelligence have transformed our online experience, and for an increasing number of individuals, these fields are fundamentally changing the way we work. In this talk, I will discuss how machine learning is used in the physical sciences, particularly materials science and chemistry, and what transformative impacts we have seen or might expect to see in the future. This discussion will focus on the unique challenges (and opportunities) faced by materials and chemistry researchers applying machine learning in their work. I will present a brief introduction to machine learning for physical scientists and give examples related to synthesis, property prediction and engineering, and artificial intelligence that “reads” research articles. These examples will introduce some of the most prevalent and useful open-source software tools that drive modern machine learning applications. Two significant themes will be emphasized throughout: the careful evaluation of machine learning results and the central importance of data quality and quantity. Finally, I will provide some mundane, “human learned” speculation about the future of machine learning in physical science and recommended resources for further study.
Graphs, Environments, and Machine Learning for Materials Scienceaimsnist
This document summarizes key points from a workshop on machine learning for materials science held on August 1, 2019. It discusses how graphs are a natural representation for materials as they can capture local atomic environments and periodicity in crystals. A graph network framework called MEGNet is presented that achieves state-of-the-art performance for molecular and crystal property prediction. MEGNet models outperform previous methods on standard benchmarks and allow for transfer learning across properties. The workshop also covered practical considerations for training deep learning models and applications beyond bulk crystals.
The window functions used for digital filter design are used to eliminate oscillations in
the FIR (Finite Impulse Response) filter design. In this work, the use of Particle Swarm Optimization
(PSO) algorithm is proposed in the design of cosh window function, in which has widely used in the
literature and has useful spectral parameters. The cosh window is a window function derived from the
Kaiser window. It is more advantageous than the Kaiser window because there is no power series
expansion in the time domain representation. The designed window function shows better ripple ratio
characteristics than other window functions commonly used in the literature. The results obtained
were presented in tables and figures and successful results were obtained
Model reduction-of-linear-systems-by conventional-and-evolutionary-techniquesCemal Ardil
This document describes two methods for reducing higher order linear systems to lower order reduced models: a conventional technique and an evolutionary technique using particle swarm optimization. The conventional technique uses Mihailov stability criterion to derive the reduced denominator polynomial and continued fraction expansions to obtain the numerator by matching quotients. The evolutionary technique uses particle swarm optimization to minimize the integral squared error between responses of the original and reduced order models for a unit step input, determining both numerator and denominator coefficients. The document outlines the conventional technique steps and provides context on model reduction and the proposed techniques. It aims to illustrate the methods through a numerical example and compare performance to other common reduction methods.
1. The document discusses various algorithms and methods for solving optimization problems involving sparse signal recovery from underdetermined linear systems.
2. Key algorithms mentioned include iterative shrinkage-thresholding algorithms like FISTA, proximal splitting methods like ADMM, and regularization-based methods involving sparse-promoting penalties like l1-norm and sum of absolute values.
3. Applications discussed include compressed sensing, sparse signal recovery from MIMO systems, and discrete signal reconstruction problems.
Lagrangian Fluid Simulation with Continuous Convolutionsfarukcankaya
Fluids considered as a set of particles and interaction between particles are computed by point clouds. It makes spatial convolutions by using spherical coordinates. Besides, the differentiable network can simulate drastically different geometry and estimate the material property used for the inverse problem. Results demonstrate that the continuous convolution network outperforms prior formulations in terms of accuracy and speed.
Foundation and Synchronization of the Dynamic Output Dual Systemsijtsrd
In this paper, the synchronization problem of the dynamic output dual systems is firstly introduced and investigated. Based on the time domain approach, the state variables synchronization of such dual systems can be verified. Meanwhile, the guaranteed exponential convergence rate can be accurately estimated. Finally, some numerical simulations are provided to illustrate the feasibility and effectiveness of the obtained result. Yeong-Jeu Sun "Foundation and Synchronization of the Dynamic Output Dual Systems" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-6 , October 2019, URL: https://www.ijtsrd.com/papers/ijtsrd29256.pdf Paper URL: https://www.ijtsrd.com/engineering/electrical-engineering/29256/foundation-and-synchronization-of-the-dynamic-output-dual-systems/yeong-jeu-sun
This article proposes a novel model selection method for nonparametric hazard regression that allows both smoothing and variable selection. The method extends component selection and smoothing operator (COSSO) regularization to the Cox proportional hazards model framework. It formulates a penalized partial likelihood using COSSO penalties on reproducing kernel Hilbert space norms. This enables efficient joint estimation of multivariate functions and model selection for censored survival data. Simulations and a real data example show the method is useful for nonparametric function estimation and variable selection in survival analysis.
This document summarizes the workspace and singularity analysis of a delta-like family robot. It describes the kinematics and singularities of different delta robot architectures including Orthoglide, Hybridglide, Triaglide, and UraneSX. It presents the equations for parallel and serial singularities for each architecture. It also compares the complexity of singularities, computation of workspace boundaries, and joint space analysis between the different architectures. The document concludes with suggestions for future work on computing singularity-free robot paths.
A common fixed point theorem for two random operators using random mann itera...Alexander Decker
This academic article presents a common fixed point theorem for two random operators using a random Mann iteration scheme. It proves that if a sequence defined by the random Mann iteration of two random operators converges, then the limit point is a common fixed point of the two operators. The paper defines relevant concepts such as random operators and random fixed points. It then presents the main theorem and proof that under a contractive condition, the limit of the random Mann iteration is a common fixed point. The proof uses properties of measurable mappings and the convergence of the iterative sequence.
On prognozisys of manufacturing doublebaseijaceeejournal
In this paper we introduce a modification of recently introduced analytical approach to model mass- and
heat transport. The approach gives us possibility to model the transport in multilayer structures with account
nonlinearity of the process and time-varing coefficients and without matching the solutions at the
interfaces of the multilayer structures. As an example of using of the approach we consider technological
process to manufacture more compact double base heterobipolar transistor. The technological approach
based on manufacturing a heterostructure with required configuration, doping of required areas of this
heterostructure by diffusion or ion implantation and optimal annealing of dopant and/or radiation defects.
The approach gives us possibility to manufacture p-n- junctions with higher sharpness framework the transistor.
In this situation we have a possibility to obtain smaller switching time of p-n- junctions and higher
compactness of the considered bipolar transistor.
In this paper, linear graphical method, moment method and inverse function method are first applied in the laboratory test of one dimensional sand column device, determining the longitudinal dispersion coefficient. The longitudinal dispersions for five groups of sand taken from 20cm below the ground surface in the Oil Refinery of China Petroleum Ningxia Filial are obtained. On this basis, the problems within the calculation process when the three kinds of methods are applied into actual data were discussed. It can be readily concluded that the three values of dispersion coefficients are approximate, and the errors caused by the subjective factors of artificial mapping and numerical reading were avoided. The inverse function method is recommended to apply for the high accuracy, sample calculation process, less known conditions and better linearity.
Linear And Nonlinear Analytical Modeling of Laminated Composite Beams In Thre...researchinventy
The large current development of aerospace and automotive technologies is based on the use of composite materials which provide significant weight savings compared to their mechanical characteristics. Correct dimensioning of composite structures requires a thorough knowledge of their behavior in small as in large deflection.This work aims to simulate linear and nonlinear behavior of laminates composites under threepoint bending test. The used modelization is based on first-order shear deformation theory (FSDT), classical plate theory (CPT) and Von-Karman’s equations for large deflection. A differential equation of Riccati, describing the variation of the deflection depending on the load, was obtained. Hence, the results deduced show a good correlation with experimental curves
ANALYSIS OF FIBER REINFORCED PLASTIC NEEDLE GATE FOR K.T. WEIRSAM Publications
Steel needle gates which are being used in Kolhapur Type Weirs (K.T. weirs) need to be replaced to overcome their disadvantages like heavy weight, corrosive nature, maintenance cost etc. Fiber Reinforced Plastic (F.R.P.) having advantages like light weight, low maintenance cost, corrosion resistance, longer service life etc. can be thought of as a replacement to steel in K.T. Weirs. In the present investigation an attempt is made to analyze the FRP Needle gates using finite element method. A generalized software tool is developed using FORTRAN which gives structural responses (deflections, stresses) as a result by input of material properties.
Hybrid Meta-Heuristic Algorithms For Solving Network Design ProblemAlana Cartwright
This document discusses hybrid meta-heuristic algorithms for solving network design problems. It proposes hybridizing the ant system meta-heuristic with genetic algorithms, simulated annealing and tabu search. Seven hybrid algorithms are developed and tested on the Sioux Falls network, finding the hybrids to be more effective than the base ant system alone. One hybrid combining all four concepts is also applied to a real network of a city with over 2 million people, proving more effective than the base network.
The Analytical Nature of the Greens Function in the Vicinity of a Simple Poleijtsrd
It is known that the Green function of a boundary value problem is a meromorphic function of a spectral parameter. When the boundary conditions contain integro differential terms, then the meromorphism of the Greens function of such a problem can also be proved. In this case, it is possible to write out the structure of the residue at the singular points of the Greens function of the boundary value problem with integro differential perturbations. An analysis of the structure of the residue allows us to state that the corresponding functions of the original operator are sufficiently smooth functions. Surprisingly, the adjoint operator can have non smooth eigenfunctions. The degree of non smoothness of the eigenfunction of the adjoint operator to an operator with integro differential boundary conditions is clarified. It is indicated that even those conjugations to multipoint boundary value problems have non smooth eigenfunctions. Ghulam Hazrat Aimal Rasa "The Analytical Nature of the Green's Function in the Vicinity of a Simple Pole" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-6 , October 2020, URL: https://www.ijtsrd.com/papers/ijtsrd33696.pdf Paper Url: https://www.ijtsrd.com/mathemetics/applied-mathamatics/33696/the-analytical-nature-of-the-greens-function-in-the-vicinity-of-a-simple-pole/ghulam-hazrat-aimal-rasa
Elastic path2path (International Conference on Image Processing'18)TamalBatabyal
Elastic Path2Path is a method for automated morphological classification of neurons. It models neurons as trees and decomposes them into rooted paths from the soma to dendritic terminals. It uses elastic deformations between paths in a shape space to allow for visualization and classification of neurons. Intermediate deformations ensure meaningful neuronal structures are generated during morphing between neurons. Technical issues with the previous Path2Path method like resampling and the distance metric are addressed in Elastic Path2Path.
Construction of Maximum Tortuosity of Single Fluid Path in Grid-based 2-d Sys...Sparisoma Viridi
Tortuosity of 2-d and 3-d small system are constructed using grid based system. Thermodynamics postulate shows that possiblility of a microstate with tortuous channel is very small, in order of 10^{-17}. This means other mechanism is required why nature can provide some structures.
Boston university; operations research presentation; 2013Alvin Zhang
This presentation discusses three operations research projects. Project I involves sustainable ecosystem planning for the Loess Plateau region of China using discrete stochastic dynamic programming and evolutionary game theory. The model represents multi-subsystems and their dynamic interactions using equations and parameters. Project II researches locational-marginal-price based distribution power networks. Project III develops an optimization approach for parametric tuning of power system stabilizers based on trajectory sensitivity analysis.
Hybrid Block Method for the Solution of First Order Initial Value Problems of...iosrjce
Method of collocation of the differential system and interpolation of the approximate solution which
is a combination of power series and exponential function at some selected grid and off-grid points to generate
a linear multistep method which is implemented in block method is considered in this paper. The basic
properties of the block method which include; consistency, convergence and stability interval is verified. The
method is tested on some numerical experiments and found to have better stability condition and better
approximation than the existing methods
Machine Learning in Materials Science and Chemistry, USPTO, Nathan C. FreyNathan Frey, PhD
Machine learning and artificial intelligence have transformed our online experience, and for an increasing number of individuals, these fields are fundamentally changing the way we work. In this talk, I will discuss how machine learning is used in the physical sciences, particularly materials science and chemistry, and what transformative impacts we have seen or might expect to see in the future. This discussion will focus on the unique challenges (and opportunities) faced by materials and chemistry researchers applying machine learning in their work. I will present a brief introduction to machine learning for physical scientists and give examples related to synthesis, property prediction and engineering, and artificial intelligence that “reads” research articles. These examples will introduce some of the most prevalent and useful open-source software tools that drive modern machine learning applications. Two significant themes will be emphasized throughout: the careful evaluation of machine learning results and the central importance of data quality and quantity. Finally, I will provide some mundane, “human learned” speculation about the future of machine learning in physical science and recommended resources for further study.
Graphs, Environments, and Machine Learning for Materials Scienceaimsnist
This document summarizes key points from a workshop on machine learning for materials science held on August 1, 2019. It discusses how graphs are a natural representation for materials as they can capture local atomic environments and periodicity in crystals. A graph network framework called MEGNet is presented that achieves state-of-the-art performance for molecular and crystal property prediction. MEGNet models outperform previous methods on standard benchmarks and allow for transfer learning across properties. The workshop also covered practical considerations for training deep learning models and applications beyond bulk crystals.
The window functions used for digital filter design are used to eliminate oscillations in
the FIR (Finite Impulse Response) filter design. In this work, the use of Particle Swarm Optimization
(PSO) algorithm is proposed in the design of cosh window function, in which has widely used in the
literature and has useful spectral parameters. The cosh window is a window function derived from the
Kaiser window. It is more advantageous than the Kaiser window because there is no power series
expansion in the time domain representation. The designed window function shows better ripple ratio
characteristics than other window functions commonly used in the literature. The results obtained
were presented in tables and figures and successful results were obtained
Model reduction-of-linear-systems-by conventional-and-evolutionary-techniquesCemal Ardil
This document describes two methods for reducing higher order linear systems to lower order reduced models: a conventional technique and an evolutionary technique using particle swarm optimization. The conventional technique uses Mihailov stability criterion to derive the reduced denominator polynomial and continued fraction expansions to obtain the numerator by matching quotients. The evolutionary technique uses particle swarm optimization to minimize the integral squared error between responses of the original and reduced order models for a unit step input, determining both numerator and denominator coefficients. The document outlines the conventional technique steps and provides context on model reduction and the proposed techniques. It aims to illustrate the methods through a numerical example and compare performance to other common reduction methods.
1. The document discusses various algorithms and methods for solving optimization problems involving sparse signal recovery from underdetermined linear systems.
2. Key algorithms mentioned include iterative shrinkage-thresholding algorithms like FISTA, proximal splitting methods like ADMM, and regularization-based methods involving sparse-promoting penalties like l1-norm and sum of absolute values.
3. Applications discussed include compressed sensing, sparse signal recovery from MIMO systems, and discrete signal reconstruction problems.
Lagrangian Fluid Simulation with Continuous Convolutionsfarukcankaya
Fluids considered as a set of particles and interaction between particles are computed by point clouds. It makes spatial convolutions by using spherical coordinates. Besides, the differentiable network can simulate drastically different geometry and estimate the material property used for the inverse problem. Results demonstrate that the continuous convolution network outperforms prior formulations in terms of accuracy and speed.
Foundation and Synchronization of the Dynamic Output Dual Systemsijtsrd
In this paper, the synchronization problem of the dynamic output dual systems is firstly introduced and investigated. Based on the time domain approach, the state variables synchronization of such dual systems can be verified. Meanwhile, the guaranteed exponential convergence rate can be accurately estimated. Finally, some numerical simulations are provided to illustrate the feasibility and effectiveness of the obtained result. Yeong-Jeu Sun "Foundation and Synchronization of the Dynamic Output Dual Systems" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-6 , October 2019, URL: https://www.ijtsrd.com/papers/ijtsrd29256.pdf Paper URL: https://www.ijtsrd.com/engineering/electrical-engineering/29256/foundation-and-synchronization-of-the-dynamic-output-dual-systems/yeong-jeu-sun
This article proposes a novel model selection method for nonparametric hazard regression that allows both smoothing and variable selection. The method extends component selection and smoothing operator (COSSO) regularization to the Cox proportional hazards model framework. It formulates a penalized partial likelihood using COSSO penalties on reproducing kernel Hilbert space norms. This enables efficient joint estimation of multivariate functions and model selection for censored survival data. Simulations and a real data example show the method is useful for nonparametric function estimation and variable selection in survival analysis.
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A Simple Criterion for the Non-Existence of Limit Cycles of a Liénard System
1. Abstract of Applied Sciences and Engineering, 2016, Vol.7
DOI: 10.18488/journal.1001/2016.7/1001.7
7th
International Scientific Conference on Applied
Sciences and Engineering
27-28 February, 2016
Flora Grand Hotel, Dubai
Conference Website: www.scihost.org
2
Paper ID: 06/16/ 7
th
ISCASE
A Simple Criterion for the Non-Existence of Limit Cycles of a
Liénard System
Makoto HAYASHI1
1
Dept. of Math., College of Science and Technology, Nihon University 7-24-1, Narashinodai,
Funabashi-shi, Chiba, 274-8501, Japan
Abstract
In this paper, as an application in our result, the non-existence of limit cycles for the
Liénard system )(),( xgyxFyx with
12)(5
1)(
)(
22
2
xforeexx
xforexx
xF
x
x
, )(xg x
is discussed by the simple criterion.
J.Graef[Gr :1971] has studied the uniformly boundedness of the solution orbits under
the condition
(C1) )()()( xxGxF ,
x
dgxG
0
.)()(
Moreover, he also proved the existence of limit cycles under the conditions (C1) and
(C2) .t. ( ) ( ) ( ) ( )
Recently, M.Cioni and G.Villari[2015] gave the same result as in [Gr] under the
conditions (C1) and
(C3) s.t. ( ) ( ) ( ) ( )
Note that (C2) is included to (C3). Our aim here is to discuss on the case of which (C1)
is satisfied, but (C3) is not satisfied. We shall give the simple criterion for the non-
existence of limit cycles for a Liénard system with these conditions.
Keywords: Liénard system, Limit cycle, Global asymptotic stability